Glen Berseth is an assistant professor at the Université de Montréal, a core academic member of Mila, Canada CIFAR AI chair, member L’Institut Courtois, and co-director of the Robotics and Embodied AI Lab (REAL). He was a postdoctoral researcher with Berkeley Artificial Intelligence Research (BAIR) working in the Robotic AI & Learning (RAIL) lab with Sergey Levine. Glen completed his NSERC-supported Ph.D. in Computer Science at the University of British Columbia in 2019, where he worked with Michiel van de Panne. His current research focuses on machine learning and solving real-world sequential decision-making problems (planning/RL), such as robotics, scientific discovery and adaptive clean technology. The specifics of his research have covered the areas of human-robot collaboration, generalization, reinforcement learning, continual learning, meta-learning, multi-agent learning, and hierarchical learning. Dr. Berseth has published across the top venues in machine learning, robotics, and computer animation in his work. He also teaches courses on data science and robot learning at Université de Montréal and Mila, covering the most recent research on machine learning techniques for creating generalist agents. He has also co-created a new conference for reinforcement learning research.